Implement telegraf metric types

And use them in the prometheus output plugin.

Still need to test the prometheus output plugin.

Also need to actually create typed metrics in the system plugins.

closes #1683
This commit is contained in:
Cameron Sparr 2016-08-30 18:09:48 +01:00
parent 0f6d317a8e
commit 03d8abccdd
3 changed files with 122 additions and 7 deletions

View File

@ -6,6 +6,17 @@ import (
"github.com/influxdata/influxdb/client/v2"
)
// ValueType is an enumeration of metric types that represent a simple value.
type ValueType int
// Possible values for the ValueType enum.
const (
_ ValueType = iota
Counter
Gauge
Untyped
)
type Metric interface {
// Name returns the measurement name of the metric
Name() string
@ -16,6 +27,9 @@ type Metric interface {
// Time return the timestamp for the metric
Time() time.Time
// Type returns the metric type. Can be either telegraf.Gauge or telegraf.Counter
Type() ValueType
// UnixNano returns the unix nano time of the metric
UnixNano() int64
@ -35,12 +49,11 @@ type Metric interface {
// metric is a wrapper of the influxdb client.Point struct
type metric struct {
pt *client.Point
mType ValueType
}
// NewMetric returns a metric with the given timestamp. If a timestamp is not
// given, then data is sent to the database without a timestamp, in which case
// the server will assign local time upon reception. NOTE: it is recommended to
// send data with a timestamp.
// NewMetric returns an untyped metric.
func NewMetric(
name string,
tags map[string]string,
@ -52,7 +65,46 @@ func NewMetric(
return nil, err
}
return &metric{
pt: pt,
pt: pt,
mType: Untyped,
}, nil
}
// NewGaugeMetric returns a gauge metric.
// Gauge metrics should be used when the metric is can arbitrarily go up and
// down. ie, temperature, memory usage, cpu usage, etc.
func NewGaugeMetric(
name string,
tags map[string]string,
fields map[string]interface{},
t time.Time,
) (Metric, error) {
pt, err := client.NewPoint(name, tags, fields, t)
if err != nil {
return nil, err
}
return &metric{
pt: pt,
mType: Gauge,
}, nil
}
// NewCounterMetric returns a Counter metric.
// Counter metrics should be used when the metric being created is an
// always-increasing counter. ie, net bytes received, requests served, errors, etc.
func NewCounterMetric(
name string,
tags map[string]string,
fields map[string]interface{},
t time.Time,
) (Metric, error) {
pt, err := client.NewPoint(name, tags, fields, t)
if err != nil {
return nil, err
}
return &metric{
pt: pt,
mType: Counter,
}, nil
}
@ -68,6 +120,10 @@ func (m *metric) Time() time.Time {
return m.pt.Time()
}
func (m *metric) Type() ValueType {
return m.mType
}
func (m *metric) UnixNano() int64 {
return m.pt.UnixNano()
}

View File

@ -23,6 +23,51 @@ func TestNewMetric(t *testing.T) {
m, err := NewMetric("cpu", tags, fields, now)
assert.NoError(t, err)
assert.Equal(t, Untyped, m.Type())
assert.Equal(t, tags, m.Tags())
assert.Equal(t, fields, m.Fields())
assert.Equal(t, "cpu", m.Name())
assert.Equal(t, now, m.Time())
assert.Equal(t, now.UnixNano(), m.UnixNano())
}
func TestNewGaugeMetric(t *testing.T) {
now := time.Now()
tags := map[string]string{
"host": "localhost",
"datacenter": "us-east-1",
}
fields := map[string]interface{}{
"usage_idle": float64(99),
"usage_busy": float64(1),
}
m, err := NewGaugeMetric("cpu", tags, fields, now)
assert.NoError(t, err)
assert.Equal(t, Gauge, m.Type())
assert.Equal(t, tags, m.Tags())
assert.Equal(t, fields, m.Fields())
assert.Equal(t, "cpu", m.Name())
assert.Equal(t, now, m.Time())
assert.Equal(t, now.UnixNano(), m.UnixNano())
}
func TestNewCounterMetric(t *testing.T) {
now := time.Now()
tags := map[string]string{
"host": "localhost",
"datacenter": "us-east-1",
}
fields := map[string]interface{}{
"usage_idle": float64(99),
"usage_busy": float64(1),
}
m, err := NewCounterMetric("cpu", tags, fields, now)
assert.NoError(t, err)
assert.Equal(t, Counter, m.Type())
assert.Equal(t, tags, m.Tags())
assert.Equal(t, fields, m.Fields())
assert.Equal(t, "cpu", m.Name())

View File

@ -102,6 +102,7 @@ func (p *PrometheusClient) Write(metrics []telegraf.Metric) error {
key := point.Name()
key = invalidNameCharRE.ReplaceAllString(key, "_")
// convert tags into prometheus labels
var labels []string
l := prometheus.Labels{}
for k, v := range point.Tags() {
@ -113,6 +114,17 @@ func (p *PrometheusClient) Write(metrics []telegraf.Metric) error {
l[k] = v
}
// Get a type if it's available, defaulting to Untyped
var mType prometheus.ValueType
switch point.Type() {
case telegraf.Counter:
mType = prometheus.CounterValue
case telegraf.Gauge:
mType = prometheus.GaugeValue
default:
mType = prometheus.UntypedValue
}
for n, val := range point.Fields() {
// Ignore string and bool fields.
switch val.(type) {
@ -134,11 +146,13 @@ func (p *PrometheusClient) Write(metrics []telegraf.Metric) error {
desc := prometheus.NewDesc(mname, "Telegraf collected metric", nil, l)
var metric prometheus.Metric
var err error
// switch for field type
switch val := val.(type) {
case int64:
metric, err = prometheus.NewConstMetric(desc, prometheus.UntypedValue, float64(val))
metric, err = prometheus.NewConstMetric(desc, mType, float64(val))
case float64:
metric, err = prometheus.NewConstMetric(desc, prometheus.UntypedValue, val)
metric, err = prometheus.NewConstMetric(desc, mType, val)
default:
continue
}